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Semantically-Enhanced Model-Experiment-Evaluation Processes (SeMEEPs) within the Atmospheric Chemistry Community

Dew, P.M., Haji, M.H., Jimack, P.K., Martin, C. and Pilling, M. (2008) Semantically-Enhanced Model-Experiment-Evaluation Processes (SeMEEPs) within the Atmospheric Chemistry Community. In: Freire, J., Koop, D. and Moreau, L., (eds.) Proceedings of Second International Provenance and Annotation Workshop (IPAW 2008). Lecture Notes in Computer Science (5272). Springer-Verlag , pp. 293-308.


The scientific model development process is often documented in an ad-hoc unstructured manner leading to difficulty in attributing provenance to data products. This can cause issues when the data owner or other interested stakeholder seeks to interpret the data at a later date. In this paper we discuss the design, development and evaluation of a Semantically-enhanced Electronic Lab-Notebook to facilitate the capture of provenance for the model development process, within the atmospheric chemistry community. We then proceed to consider the value of semantically enhanced provenance within the wider community processes, Semantically-enhanced Model-Experiment Evaluation Processes (SeMEEPs), that leverage data generated by experiments and computational models to conduct evaluations.

Item Type: Book Section
Keywords: Semantic Metadata, Provenance, Atmospheric Chemistry, Model Development.
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Chemistry (Leeds)
Depositing User: Mrs Yasmin Aziz
Date Deposited: 19 Nov 2008 10:10
Last Modified: 24 Jun 2014 09:36
Status: Published
Publisher: Springer-Verlag
Refereed: Yes
Related URLs:
URI: http://eprints.whiterose.ac.uk/id/eprint/4923

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